Senior Frontend Software Engineer, Spendesk

• Fluency in written and spoken English (our business language)
• 2+ years of experience in software development (5+ years for Senior Engineer positions)
• Strong AI mindset
• Proven track record of delivering high‑quality, scalable AI products
• Ability to translate business and product concepts into technical solutions
• Enthusiasm for working in a fast‑paced environment, with a focus on continuous growth and craft mastery
• Strong customer‑centric mindset
• Alignment with Spendesk’s core values of empowering businesses to achieve more
• Nice‑to‑haves (not required)

Desirable

• We are looking for a talented Frontend Software Engineer to join our AI/Data squad and help shape the future of spend management with AI
• As a Frontend Software Engineer, you will take ownership of both functional and technical topics. You will have the opportunity to work across the entire feature lifecycle, including specification, technical design, development, testing, documentation, and maintenance
• Develop and maintain AI systems and features, with a focus on intuitive, high‑quality user experiences
• Lead the design and development of performant, accessible, and user‑friendly interfaces (React/TypeScript), including data‑rich flows and AI‑assisted UIs
• Collaborate closely with ML Engineers to integrate models (via AWS Bedrock), define guardrails, and design human‑in‑the‑loop interactions and feedback capture
• Write clean, maintainable, and well‑tested code; contribute to our design system and frontend architecture
• Instrument features with analytics, tracing, and evaluations to measure quality (latency, accuracy, UX outcomes) and drive iteration
• Contribute to the technical vision and drive the implementation of complex projects; propose and ship POCs, run experiments/A‑B tests, and iterate quickly
• Improve engineering processes, tools, and systems to enhance productivity and scalability
• Mentor and inspire fellow engineers; share best practices in performance, accessibility, and testing
• Example projects you might work on
• Accounting Assistant: Helps accountants collect receipts and context from end users
• Budget Forecaster: Predicts budget needs based on historical data and business plans
• Spend Data Agent: Provides budget owners with insights on budget performance and trends
• What success looks like in your first 90 days
• You’ve shipped your first AI‑assisted UI in production and instrumented it with meaningful metrics
• You’ve partnered with ML Engineers to refine prompts/guardrails and improved UX based on real usage data
• You’ve contributed to our design system or frontend architecture with a performance or accessibility improvement
• You’ve helped scope and deliver a POC or experiment that informed the roadmap
• How we work (AI/Data squad)
• AI‑first, product‑led: we prototype fast, test with real users, and iterate based on signal
• “You build it, you run it”: squads own deployment, monitoring, and continuous improvements
• Collaboration by default: work hand‑in‑hand with PM, Design, ML Engineering, and (when needed) Sales/CS to understand problems and validate outcomes
• Pragmatic engineering: we value clear trade‑offs, delivering impact over perfection

• HR Screening call
• Discussion with a Hiring Manager (Head of Engineering)
• Technical interview: live coding (and/or technical design depending on seniority)
• Final interview with leadership
• As we are an international team, please submit your application and CV in English